* iterators that don't support {@code remove()}. Otherwise, all optional operations are supported.
 * Null row keys, columns keys, and values are not supported.
 *
 * <p>Lookups by row key are often faster than lookups by column key, because the data is stored in
 * a {@code Map<R, Map<C, V>>}. A method call like {@code column(columnKey).get(rowKey)} still runs

    /**
     * The case where the user wants to specify an alternate version of the underlying tool. Common case
     * is in the Antlr plugin which comes bundled with a version of Antlr but the user often times needs
     * to use a specific version. We need to make sure the version that they specify takes precedence.
     */
    @Test
    void testMojoWhereInternallyStatedDependencyIsOverriddenByProject() throws Exception {}

      return compute_func(key, value, status);
    }

    // Note: we hold onto mu_ for the rest of this function. In practice, this
    // is okay, as stat requests are typically fast, and concurrent requests are
    // often for the same file. Future work can split this up into one lock per
    // key if this proves to be a significant performance bottleneck.
    absl::MutexLock lock(&mu_);
    if (LookupLocked(key, value)) {

 *       classpath scanning and make the results available to an Android app</a>.)
 *   <li>Like all of Guava, it is not tested under Windows. We have gotten <a
 *       href="https://github.com/google/guava/issues/2130">a report of a specific bug under
 *       Windows</a>.
 *   <li>It <a href="https://github.com/google/guava/issues/2712">returns only one resource for a

   * scattered in memory and thus don't interfere much with each
   * other. But Atomic objects residing in arrays will tend to be
   * placed adjacent to each other, and so will most often share
   * cache lines (with a huge negative performance impact) without
   * this precaution.
   *
   * In part because Cells are relatively large, we avoid creating

   * scattered in memory and thus don't interfere much with each
   * other. But Atomic objects residing in arrays will tend to be
   * placed adjacent to each other, and so will most often share
   * cache lines (with a huge negative performance impact) without
   * this precaution.
   *
   * In part because Cells are relatively large, we avoid creating

 * This type is created by calls to {@link #patchModule(String)} and a new instance must be created for
 * every module to patch.</p>
 *
 * <p>Path types are often exclusive. For example, a dependency should not be both on the Java class-path
 * and on the Java module-path.</p>
 *
 * @see org.apache.maven.api.services.DependencyResolverResult#getDispatchedPaths()
 *
 * @since 4.0.0

   * scattered in memory and thus don't interfere much with each
   * other. But Atomic objects residing in arrays will tend to be
   * placed adjacent to each other, and so will most often share
   * cache lines (with a huge negative performance impact) without
   * this precaution.
   *
   * In part because Cells are relatively large, we avoid creating

      return "Functions.toStringFunction()";
    }
  }

  /**
   * Returns the identity function.
   *
   * <p><b>Discouraged:</b> Prefer using a lambda like {@code v -> v}, which is shorter and often
   * more readable.
   */
  // implementation is "fully variant"; E has become a "pass-through" type
  @SuppressWarnings("unchecked")
  public static <E extends @Nullable Object> Function<E, E> identity() {

    # Vocabularies for Semantic Content With "format"
    format: Optional[str] = None
    # Ref: JSON Schema Validation 2020-12: https://json-schema.org/draft/2020-12/json-schema-validation.html#name-a-vocabulary-for-the-conten
    # A Vocabulary for the Contents of String-Encoded Data
    contentEncoding: Optional[str] = None
    contentMediaType: Optional[str] = None
    contentSchema: Optional["SchemaOrBool"] = None